R codes for basic algorithms in Marketing models and multi variate statistics

Decision Tree is a supervised learning algorithm. The given problem is a classification problem. The data set consists of various predictors and a target variable - Outcome. Objective is to predict whether a person is diabetic or non-diabetic.

Market analysis of customer survey data to determine best markets for targeted advertisement.

This notebook provides some skills to perform Feature-Engineering on data.

Creating clusters for gobal development measurements

This repository contains all the resources made and used in the session for Feature Engineering

In this repository, UAV pitch angle is fitted using linear regression and Kalman Filter. It is apart of Assignment1&2 in Sensing, Perception and Actuation course for ROCV master's program at Innopolis University.

RFM Analysis-Python

Getting data ready for ML

This Project involved an Exploratory Data Analysis (EDA) and pre-processing on a 10K Play Store app dataset for analyzing the Android market.

Outlier Detection Using Cluster Analysis

Time series data, prevalent across diverse domains like economics, finance, meteorology, and science, encompasses various phenomena such as daily sales, stock prices, temperatures, and population growth. We will analyze different datasets to discern patterns and forecast future trends or extract pertinent insights.

Native Python implementation of the outlier detection method proposed by Basu and Meckesheimer.

The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics

Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.

Outlier Rejection with RANSAC & Least Squares

Data science and NLP tools developed for my own use.

Website to predict the prices of Real Estate.